Abstract
In non-local means (NLM) method for image denoising, the weight of the center pixel is called the center weight (CW). The CW plays an important role for the performance of NLM. This paper proposes a novel CW by studying the relation between Perona-Malik anisotropic diffusion (PMAD) and NLM. The proposed CW is called the Wiener filter center weight (WFCW) since Wiener filter is introduced in the proposed CW computation. At the same time, the relation between non-local total variation and NLM is further disclosed. Test results show that the proposed method can achieve better results and is very efficient compared with the related NLM methods.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
